A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles ...

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

Machine learning reduces friction at every stage of a business, whether you’re coming up with new product ideas or getting the goods delivered to the client. It increases business efficiency, improves ...

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

Understand why testing must evolve beyond deterministic checks to assess fairness, accountability, resilience and ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

In this retrospective cohort analysis, researchers aimed to identify key predictors of trial enrollment among cancer patients.

AI’s role in music creation has sparked a debate on creativity and value. While AI offers new tools, the human element remains irreplaceable in artistry.

The 1980s were vested in exploring the use of vanadium species in flow batteries. Sum et al. (1985a; 1985b) investigated the use of vanadium (II), (III), (IV), and (V) in ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

Japanese researchers develop an adaptive robot motion system that enables human-like grasping using minimal training data.